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The reliability of computed tomography-derived SYNTAX score measurement.
Murat Ugur1, Mahmut Uluganyan2, Gokhan Cicek3
1Clinic of Cardiology, Dr Siyami Ersek Thoracic and Cardiovascular Surgery Center Training and Research Hospital, Istanbul, Turkey.
Computed tomography angiography (CTA) accurately calculates the Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score (SS). This imaging method can help stratify risk before coronary revascularization.
Area of Science:
- Cardiology
- Medical Imaging
- Interventional Cardiology
Background:
- The Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score (SS) is crucial for assessing coronary artery disease complexity.
- Accurate scoring is vital for guiding treatment decisions in patients with coronary artery disease.
Purpose of the Study:
- To compare the SYNTAX score (SS) calculated using conventional coronary angiography (CAG) and computed tomography angiography (CTA).
- To evaluate the reliability and predictive value of CTA-derived SS in risk stratification for coronary revascularization.
Main Methods:
- Retrospective analysis of 107 patients undergoing coronary angiography.
- Calculation of SS using both conventional CAG and CTA.
- Statistical analysis including correlation (r-value) and agreement (κ analysis) between the two methods.
- Receiver operating characteristic (ROC) curve analysis to assess CTA's predictive performance.
Main Results:
- A high correlation (r = .972, P < .001) was observed between SS calculated by CAG and CTA.
- Substantial agreement was found between the two imaging modalities based on κ analysis.
- CTA demonstrated high accuracy in predicting conventional CAG findings (area under curve = 0.96, P < .001).
Conclusions:
- CTA-derived SS is highly correlated with the SS obtained from conventional CAG.
- CTA can be reliably used for risk stratification prior to coronary revascularization procedures.
- CTA offers a valuable alternative or complementary tool for assessing coronary artery disease complexity.
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